Experiment with DDA

Removing Outliers

## [1] "Outliers : 135499aaw, 9l7s14ocz, 9l7s14ocz, g6m2iu73e, lpc2zjkex, srn0c21wi"

## Empty data.table (0 rows) of 1 col: IDjoueur

## Empty data.table (0 rows) of 1 col: IDjoueur

## Empty data.table (0 rows) of 1 col: IDjoueur

## [1] "Outliers : at13n1mb2, srn0c21wi"

## Empty data.table (0 rows) of 1 col: IDjoueur

## Empty data.table (0 rows) of 1 col: IDjoueur

## Empty data.table (0 rows) of 1 col: IDjoueur

## [1] "Outliers : 2lvqyyzt9, 3t1l09dyk, e0tdz7cvh"

## Empty data.table (0 rows) of 1 col: IDjoueur

## Empty data.table (0 rows) of 1 col: IDjoueur

## Empty data.table (0 rows) of 1 col: IDjoueur

## [1] "Total number of outliers:  9"

## [1] "Total number of outliers motor task:  1"

## [1] "Total number of outliers perceptive task:  3"

## [1] "Total number of outliers logical task:  6"

Modeling objective difficulty for motor task

## Generalized linear mixed model fit by maximum likelihood (Laplace
##   Approximation) [glmerMod]
##  Family: binomial  ( logit )
## Formula: perdant ~ difficulty + timeNorm + (1 | IDjoueur)
##    Data: DT
## 
##      AIC      BIC   logLik deviance df.resid 
##   3151.9   3174.9  -1571.9   3143.9     2336 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -1.9957 -0.8530 -0.5675  0.9526  2.1623 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  IDjoueur (Intercept) 0.6875   0.8292  
## Number of obs: 2340, groups:  IDjoueur, 78
## 
## Fixed effects:
##             Estimate Std. Error z value Pr(>|z|)    
## (Intercept)  -1.1106     0.1603  -6.928 4.27e-12 ***
## difficulty    3.2297     0.3438   9.395  < 2e-16 ***
## timeNorm     -0.4618     0.1650  -2.798  0.00514 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##            (Intr) dffclt
## difficulty -0.585       
## timeNorm   -0.216 -0.401

## The result is correct only if all data used by the model has not changed since model was fitted.
## The result is correct only if all data used by the model has not changed since model was fitted.

## 
##  Logique2   Motrice Sensoriel 
##         0      2340         0 
## [1] "Player levels from ranef:"
##   (Intercept)       
##  Min.   :-2.126430  
##  1st Qu.:-0.347466  
##  Median : 0.049837  
##  Mean   : 0.003376  
##  3rd Qu.: 0.448296  
##  Max.   : 1.960052  
## [1] "Intercept: -1.11 4.3e-12 ***"
## [1] "Difficulty: 3.23 5.7e-21 ***"
## [1] "Time: -0.462 0.0051 **"
## [1] "R2 fixed: 0.13"
## [1] "R2 mixed: 0.28"
## [1] "Cross Val: 0.62"
## [1] "AIC: 3200"

##          0%         25%         50%         75%        100% 
## -1.96005180 -0.44829605 -0.04983725  0.34746630  2.12642981

##          0%         25%         50%         75%        100% 
## -1.96005180 -0.44829605 -0.04983725  0.34746630  2.12642981

## `geom_smooth()` using method = 'gam'

Modeling objective difficulty for sensory task

## Generalized linear mixed model fit by maximum likelihood (Laplace
##   Approximation) [glmerMod]
##  Family: binomial  ( logit )
## Formula: perdant ~ difficulty + timeNorm + (1 | IDjoueur)
##    Data: DT
## 
##      AIC      BIC   logLik deviance df.resid 
##   2532.7   2555.3  -1262.3   2524.7     2126 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -4.5031 -0.7242 -0.3428  0.8058  3.7576 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  IDjoueur (Intercept) 0.5808   0.7621  
## Number of obs: 2130, groups:  IDjoueur, 71
## 
## Fixed effects:
##             Estimate Std. Error z value Pr(>|z|)    
## (Intercept)  -2.1935     0.1751 -12.529   <2e-16 ***
## difficulty    9.0967     0.5527  16.459   <2e-16 ***
## timeNorm     -0.3650     0.1824  -2.001   0.0454 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##            (Intr) dffclt
## difficulty -0.615       
## timeNorm   -0.317 -0.299

## The result is correct only if all data used by the model has not changed since model was fitted.
## The result is correct only if all data used by the model has not changed since model was fitted.

## 
##  Logique2   Motrice Sensoriel 
##         0         0      2130 
## [1] "Player levels from ranef:"
##   (Intercept)       
##  Min.   :-1.476587  
##  1st Qu.:-0.370451  
##  Median :-0.036883  
##  Mean   : 0.003092  
##  3rd Qu.: 0.449790  
##  Max.   : 1.689450  
## [1] "Intercept: -2.19 5.2e-36 ***"
## [1] "Difficulty: 9.1 7.2e-61 ***"
## [1] "Time: -0.365 0.045 *"
## [1] "R2 fixed: 0.31"
## [1] "R2 mixed: 0.42"
## [1] "Cross Val: 0.68"
## [1] "AIC: 2500"

##          0%         25%         50%         75%        100% 
## -1.68944968 -0.44979001  0.03688316  0.37045061  1.47658650

##          0%         25%         50%         75%        100% 
## -1.68944968 -0.44979001  0.03688316  0.37045061  1.47658650

## `geom_smooth()` using method = 'gam'

Modeling objective difficulty for logical task

## Generalized linear mixed model fit by maximum likelihood (Laplace
##   Approximation) [glmerMod]
##  Family: binomial  ( logit )
## Formula: perdant ~ difficulty + timeNorm + (1 | IDjoueur)
##    Data: DT
## 
##      AIC      BIC   logLik deviance df.resid 
##   2839.0   2861.8  -1415.5   2831.0     2216 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.7599 -0.7933 -0.4388  0.8894  5.9937 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  IDjoueur (Intercept) 1.538    1.24    
## Number of obs: 2220, groups:  IDjoueur, 74
## 
## Fixed effects:
##             Estimate Std. Error z value Pr(>|z|)    
## (Intercept)  -1.6820     0.1962  -8.574  < 2e-16 ***
## difficulty    4.8761     0.3902  12.497  < 2e-16 ***
## timeNorm     -1.0018     0.2129  -4.707 2.52e-06 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##            (Intr) dffclt
## difficulty -0.435       
## timeNorm   -0.095 -0.617

## The result is correct only if all data used by the model has not changed since model was fitted.
## The result is correct only if all data used by the model has not changed since model was fitted.

## 
##  Logique2   Motrice Sensoriel 
##      2220         0         0 
## [1] "Player levels from ranef:"
##   (Intercept)      
##  Min.   :-2.40565  
##  1st Qu.:-0.91465  
##  Median :-0.21046  
##  Mean   : 0.00762  
##  3rd Qu.: 1.01654  
##  Max.   : 2.33338  
## [1] "Intercept: -1.68 1e-17 ***"
## [1] "Difficulty: 4.88 7.8e-36 ***"
## [1] "Time: -1 2.5e-06 ***"
## [1] "R2 fixed: 0.25"
## [1] "R2 mixed: 0.49"
## [1] "Cross Val: 0.66"
## [1] "AIC: 2800"

##         0%        25%        50%        75%       100% 
## -2.3333793 -1.0165435  0.2104629  0.9146509  2.4056548

##         0%        25%        50%        75%       100% 
## -2.3333793 -1.0165435  0.2104629  0.9146509  2.4056548

## `geom_smooth()` using method = 'gam'

Influence of Player Profiles

Player profiles

Influence of Player Profiles

Objective level and player profile

Playing video games in general and level for each task

Playing board games in general and level for each task

Self efficacy and level for each task

## [1] "self.eff.on.level.m 0.26 0.0019 **"

## [1] "self.eff.on.level.l 0.17 0.048 *"

Risk aversion and level for each task

## [1] "risk.av.on.level.s 0.29 0.00094 ***"

## [1] "risk.av.on.level.l 0.28 0.00098 ***"

Age and level for each task

Sex and level for each task

## [1] "sexe.on.level.m -0.39 2.6e-05 ***"

## [1] "sexe.on.level.l -0.25 0.0098 **"

## [1] "sexe.on.level.m.2 -0.68 2.6e-05 *** mean(A): 0.2 mean(B): -0.56"

## [1] "sexe.on.level.l.2 -0.82 0.0099 ** mean(A): 0.2 mean(B): -0.54"

Subjective difficulty and play habits

Playing video game in general and subjective difficulty error

Playing board game in general and subjective difficulty error

In game level and subjective difficulty error

## [1] "niveau.group.on.error 0.078 ."

Sex and subjective difficulty error

Risk aversion and subjective difficulty error

Self efficacy and subjective difficulty error

OLD!! We investigate the link between player’s reported game habits, feeling of self efficacy, risk aversion and player’s behavior in the different games. Feeling of self efficacy shows a small link with performance on motor task (Kendal \(\tau\)=0.26, p<0.01) and logical task (Kendal \(\tau\)=0.17, p=0.053). Aversion to risk shows a small link with performance on sensory (Kendal \(\tau\)=0.29, p<0.001) and logical task (Kendal \(\tau\)=0.27 p<0.01). In this experiment, female players tend to have a lower performance on motor (Kendal \(\tau\)=-0.4, p<0.001) and logical tasks (Kendal \(\tau\)=-0.25, p<0.01). Player’s sex is also slightly related to the error between subjective and objective difficulty (Kendal \(\tau\)=-0.19, p=0.053) i.e. compared to male players, female players tend to underestimate logical task difficulty.

Influence of Objective difficulty on Subjective Difficulty

All tasks

## [1] "all"

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

##     obj.diff.bin delta.obj.subj  n        pval
##  1:      0.03125        -0.0310 27   3e-04 ***
##  2:      0.09375        -0.0220 59     0.035 *
##  3:      0.15625        -0.0250 68     0.32 :(
##  4:      0.21875        -0.0045 72     0.75 :(
##  5:      0.28125        -0.0260 77     0.29 :(
##  6:      0.34375        -0.0290 80     0.23 :(
##  7:      0.40625        -0.0340 80     0.18 :(
##  8:      0.46875        -0.0750 80   0.0067 **
##  9:      0.53125        -0.1200 80 4.8e-06 ***
## 10:      0.59375        -0.1300 78 4.8e-06 ***
## 11:      0.65625        -0.2200 79 2.4e-09 ***
## 12:      0.71875        -0.2200 76 3.1e-09 ***
## 13:      0.78125        -0.2500 51   9e-08 ***
## 14:      0.84375        -0.2400 56 3.3e-06 ***
## 15:      0.90625        -0.1900 30 1.2e-06 ***
## 16:      0.96875        -0.2300 17 0.00023 ***

Motor task

## [1] "all"

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

##     obj.diff.bin delta.obj.subj  n        pval
##  1:      0.03125             NA  0          NA
##  2:      0.09375             NA  3          NA
##  3:      0.15625        -0.0130 13     0.78 :(
##  4:      0.21875        -0.0045 29     0.21 :(
##  5:      0.28125        -0.0310 61      0.5 :(
##  6:      0.34375        -0.0720 73     0.025 *
##  7:      0.40625        -0.0810 74     0.025 *
##  8:      0.46875        -0.1000 74   0.0053 **
##  9:      0.53125        -0.1300 76 0.00052 ***
## 10:      0.59375        -0.2000 72 2.8e-06 ***
## 11:      0.65625        -0.2500 61 2.2e-06 ***
## 12:      0.71875        -0.2900 38 1.6e-05 ***
## 13:      0.78125        -0.4100 11   0.0065 **
## 14:      0.84375        -0.5400  4      0.2 :(
## 15:      0.90625             NA  0          NA
## 16:      0.96875             NA  0          NA

## Warning: Removed 4 rows containing missing values (geom_point).

## Warning: Removed 4 rows containing missing values (geom_errorbar).

## [1] "good"

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

##     obj.diff.bin delta.obj.subj  n    pval
##  1:      0.03125             NA  0      NA
##  2:      0.09375             NA  3      NA
##  3:      0.15625         -0.013 10 0.76 :(
##  4:      0.21875          0.019 18 0.79 :(
##  5:      0.28125          0.076 19 0.095 .
##  6:      0.34375          0.031 19 0.59 :(
##  7:      0.40625         -0.035 19 0.56 :(
##  8:      0.46875         -0.064 19 0.36 :(
##  9:      0.53125         -0.100 18 0.12 :(
## 10:      0.59375         -0.130 17 0.072 .
## 11:      0.65625         -0.220 12 0.054 .
## 12:      0.71875         -0.230  7 0.55 :(
## 13:      0.78125             NA  1      NA
## 14:      0.84375             NA  0      NA
## 15:      0.90625             NA  0      NA
## 16:      0.96875             NA  0      NA

## Warning: Removed 6 rows containing missing values (geom_point).

## Warning: Removed 6 rows containing missing values (geom_errorbar).

## [1] "medium"

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

##     obj.diff.bin delta.obj.subj  n        pval
##  1:      0.03125             NA  0          NA
##  2:      0.09375             NA  0          NA
##  3:      0.15625             NA  3          NA
##  4:      0.21875         -0.220 11      0.07 .
##  5:      0.28125         -0.067 42     0.16 :(
##  6:      0.34375         -0.084 49     0.031 *
##  7:      0.40625         -0.089 49     0.035 *
##  8:      0.46875         -0.110 49     0.018 *
##  9:      0.53125         -0.140 49   0.0032 **
## 10:      0.59375         -0.240 45 5.8e-05 ***
## 11:      0.65625         -0.260 39 0.00018 ***
## 12:      0.71875         -0.380 23 0.00024 ***
## 13:      0.78125         -0.410  6     0.031 *
## 14:      0.84375             NA  1          NA
## 15:      0.90625             NA  0          NA
## 16:      0.96875             NA  0          NA

## Warning: Removed 6 rows containing missing values (geom_point).

## Warning: Removed 6 rows containing missing values (geom_errorbar).

## [1] "bad"

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

##     obj.diff.bin delta.obj.subj  n    pval
##  1:      0.03125             NA  0      NA
##  2:      0.09375             NA  0      NA
##  3:      0.15625             NA  0      NA
##  4:      0.21875             NA  0      NA
##  5:      0.28125             NA  0      NA
##  6:      0.34375             NA  5      NA
##  7:      0.40625          -0.09  6 0.44 :(
##  8:      0.46875          -0.14  6 0.31 :(
##  9:      0.53125          -0.12  9 0.41 :(
## 10:      0.59375          -0.18 10 0.15 :(
## 11:      0.65625          -0.30 10 0.041 *
## 12:      0.71875          -0.29  8 0.042 *
## 13:      0.78125          -0.57  4 0.095 .
## 14:      0.84375             NA  3      NA
## 15:      0.90625             NA  0      NA
## 16:      0.96875             NA  0      NA

## Warning: Removed 9 rows containing missing values (geom_point).

## Warning: Removed 9 rows containing missing values (geom_errorbar).

Sensory task

## [1] "all"

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

##     obj.diff.bin delta.obj.subj  n        pval
##  1:      0.03125             NA 15          NA
##  2:      0.09375         -0.094 54 5.7e-07 ***
##  3:      0.15625         -0.095 61 1.7e-06 ***
##  4:      0.21875         -0.100 43 0.00062 ***
##  5:      0.28125         -0.094 51     0.017 *
##  6:      0.34375         -0.120 46   0.0058 **
##  7:      0.40625         -0.049 41     0.44 :(
##  8:      0.46875         -0.110 45   0.0057 **
##  9:      0.53125         -0.150 48 0.00038 ***
## 10:      0.59375         -0.079 37     0.094 .
## 11:      0.65625         -0.140 40   0.0036 **
## 12:      0.71875         -0.180 53 4.8e-05 ***
## 13:      0.78125         -0.140 33 0.00023 ***
## 14:      0.84375         -0.150 44   0.0018 **
## 15:      0.90625         -0.160 29 1.7e-06 ***
## 16:      0.96875         -0.230 17 0.00023 ***

## Warning: Removed 1 rows containing missing values (geom_point).

## Warning: Removed 1 rows containing missing values (geom_errorbar).

## [1] "good"

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

##     obj.diff.bin delta.obj.subj n    pval
##  1:      0.03125             NA 9      NA
##  2:      0.09375         -0.094 9 0.13 :(
##  3:      0.15625             NA 9      NA
##  4:      0.21875         -0.160 5 0.054 .
##  5:      0.28125         -0.067 5 0.31 :(
##  6:      0.34375         -0.085 4 0.38 :(
##  7:      0.40625         -0.049 5    1 :(
##  8:      0.46875         -0.100 5 0.81 :(
##  9:      0.53125         -0.200 5 0.44 :(
## 10:      0.59375         -0.097 4 0.88 :(
## 11:      0.65625         -0.013 6    1 :(
## 12:      0.71875         -0.270 7 0.075 .
## 13:      0.78125         -0.085 4 0.58 :(
## 14:      0.84375         -0.200 6 0.14 :(
## 15:      0.90625         -0.190 6 0.036 *
## 16:      0.96875             NA 4      NA

## Warning: Removed 3 rows containing missing values (geom_point).

## Warning: Removed 3 rows containing missing values (geom_errorbar).

## [1] "medium"

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

##     obj.diff.bin delta.obj.subj  n        pval
##  1:      0.03125             NA  6          NA
##  2:      0.09375         -0.094 38 2.2e-06 ***
##  3:      0.15625         -0.110 32 0.00024 ***
##  4:      0.21875         -0.150 24 0.00073 ***
##  5:      0.28125         -0.110 25     0.036 *
##  6:      0.34375         -0.094 27     0.055 .
##  7:      0.40625         -0.085 24     0.27 :(
##  8:      0.46875         -0.120 22     0.055 .
##  9:      0.53125         -0.180 27   0.0032 **
## 10:      0.59375         -0.130 22     0.038 *
## 11:      0.65625         -0.270 20 0.00072 ***
## 12:      0.71875         -0.170 26   0.0041 **
## 13:      0.78125         -0.210 21 0.00093 ***
## 14:      0.84375         -0.130 23   0.0046 **
## 15:      0.90625         -0.120 16 0.00033 ***
## 16:      0.96875         -0.330  9    0.008 **

## Warning: Removed 1 rows containing missing values (geom_point).

## Warning: Removed 1 rows containing missing values (geom_errorbar).

## [1] "bad"

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

##     obj.diff.bin delta.obj.subj  n    pval
##  1:      0.03125             NA  0      NA
##  2:      0.09375             NA  7      NA
##  3:      0.15625        -0.0540 20 0.12 :(
##  4:      0.21875        -0.0044 14 0.95 :(
##  5:      0.28125        -0.0790 21 0.27 :(
##  6:      0.34375        -0.1300 15  0.1 :(
##  7:      0.40625         0.0220 12 0.56 :(
##  8:      0.46875        -0.1300 18 0.081 .
##  9:      0.53125        -0.0870 16 0.093 .
## 10:      0.59375         0.0130 11 0.89 :(
## 11:      0.65625        -0.0130 14 0.66 :(
## 12:      0.71875        -0.2000 20 0.038 *
## 13:      0.78125        -0.1400  8 0.23 :(
## 14:      0.84375        -0.1700 15 0.79 :(
## 15:      0.90625        -0.2200  7  0.02 *
## 16:      0.96875        -0.1600  4 0.098 .

## Warning: Removed 2 rows containing missing values (geom_point).

## Warning: Removed 2 rows containing missing values (geom_errorbar).

Logical task

## [1] "all"

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

##     obj.diff.bin delta.obj.subj  n        pval
##  1:      0.03125         -0.031 17     0.027 *
##  2:      0.09375          0.025 38     0.69 :(
##  3:      0.15625          0.058 51     0.15 :(
##  4:      0.21875          0.067 61     0.17 :(
##  5:      0.28125          0.040 66     0.11 :(
##  6:      0.34375          0.034 71      0.4 :(
##  7:      0.40625          0.010 71     0.83 :(
##  8:      0.46875         -0.062 72     0.054 .
##  9:      0.53125         -0.091 73     0.014 *
## 10:      0.59375         -0.130 67   0.0016 **
## 11:      0.65625         -0.230 63 4.3e-07 ***
## 12:      0.71875         -0.210 52 1.7e-05 ***
## 13:      0.78125         -0.280 30 0.00012 ***
## 14:      0.84375         -0.420 14   0.0012 **
## 15:      0.90625             NA  1          NA
## 16:      0.96875             NA  0          NA

## Warning: Removed 2 rows containing missing values (geom_point).

## Warning: Removed 2 rows containing missing values (geom_errorbar).

## [1] "good"

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

##     obj.diff.bin delta.obj.subj  n      pval
##  1:      0.03125         -0.031 16    0.04 *
##  2:      0.09375          0.025 25   0.76 :(
##  3:      0.15625          0.130 25   0.23 :(
##  4:      0.21875          0.100 25   0.11 :(
##  5:      0.28125          0.040 24   0.47 :(
##  6:      0.34375         -0.058 25   0.48 :(
##  7:      0.40625         -0.049 24   0.38 :(
##  8:      0.46875         -0.110 25   0.021 *
##  9:      0.53125         -0.120 24   0.047 *
## 10:      0.59375         -0.170 23 0.0048 **
## 11:      0.65625         -0.230 22  0.002 **
## 12:      0.71875         -0.290 19  0.002 **
## 13:      0.78125         -0.280 10   0.041 *
## 14:      0.84375         -0.450  4   0.098 .
## 15:      0.90625             NA  0        NA
## 16:      0.96875             NA  0        NA

## Warning: Removed 2 rows containing missing values (geom_point).

## Warning: Removed 2 rows containing missing values (geom_errorbar).

## [1] "medium"

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

##     obj.diff.bin delta.obj.subj  n    pval
##  1:      0.03125             NA  1      NA
##  2:      0.09375          0.013 13 0.83 :(
##  3:      0.15625          0.058 22 0.23 :(
##  4:      0.21875          0.140 24 0.083 .
##  5:      0.28125          0.058 24 0.14 :(
##  6:      0.34375          0.150 24 0.038 *
##  7:      0.40625          0.094 23 0.091 .
##  8:      0.46875          0.031 23  0.7 :(
##  9:      0.53125         -0.013 24 0.92 :(
## 10:      0.59375         -0.022 22 0.72 :(
## 11:      0.65625         -0.130 22 0.096 .
## 12:      0.71875         -0.040 19 0.36 :(
## 13:      0.78125         -0.170 11 0.067 .
## 14:      0.84375         -0.430  7 0.034 *
## 15:      0.90625             NA  1      NA
## 16:      0.96875             NA  0      NA

## Warning: Removed 3 rows containing missing values (geom_point).

## Warning: Removed 3 rows containing missing values (geom_errorbar).

## [1] "bad"

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = obj.diff.bin.cur, conf.int =
## T): requested conf.level not achievable

##     obj.diff.bin delta.obj.subj  n        pval
##  1:      0.03125             NA  0          NA
##  2:      0.09375             NA  0          NA
##  3:      0.15625         -0.060  4     0.36 :(
##  4:      0.21875         -0.160 12     0.21 :(
##  5:      0.28125          0.033 18     0.51 :(
##  6:      0.34375         -0.010 22     0.82 :(
##  7:      0.40625         -0.013 24     0.68 :(
##  8:      0.46875         -0.088 24     0.079 .
##  9:      0.53125         -0.110 25     0.038 *
## 10:      0.59375         -0.200 22      0.01 *
## 11:      0.65625         -0.290 19 0.00023 ***
## 12:      0.71875         -0.290 14   0.0024 **
## 13:      0.78125         -0.350  9   0.0084 **
## 14:      0.84375             NA  3          NA
## 15:      0.90625             NA  0          NA
## 16:      0.96875             NA  0          NA

## Warning: Removed 5 rows containing missing values (geom_point).

## Warning: Removed 5 rows containing missing values (geom_errorbar).

All tasks

## [1] "all"

##     timeNorm.bin delta.time.subj  n        pval
##  1:      0.03125           0.110 80   3e-07 ***
##  2:      0.09375           0.130 80 1.3e-09 ***
##  3:      0.15625           0.190 80   5e-10 ***
##  4:      0.21875           0.130 80   2e-06 ***
##  5:      0.28125           0.088 80 0.00016 ***
##  6:      0.34375           0.025 80     0.32 :(
##  7:      0.40625          -0.025 80     0.22 :(
##  8:      0.46875          -0.100 80 8.4e-05 ***
##  9:      0.53125          -0.150 80 2.5e-07 ***
## 10:      0.59375          -0.190 80   4e-09 ***
## 11:      0.65625          -0.300 80 4.6e-13 ***
## 12:      0.71875          -0.340 80 1.5e-14 ***
## 13:      0.78125          -0.390 80 9.1e-15 ***
## 14:      0.84375          -0.430 80 1.1e-14 ***
## 15:      0.90625          -0.510 80 7.9e-15 ***
## 16:      0.96875          -0.600 80 7.9e-15 ***

Motor task

## [1] "all"

##     timeNorm.bin delta.time.subj  n        pval
##  1:      0.03125           0.180 78   0.0012 **
##  2:      0.09375           0.190 78 1.2e-06 ***
##  3:      0.15625           0.200 78 2.8e-07 ***
##  4:      0.21875           0.140 78   0.0024 **
##  5:      0.28125           0.110 78 0.00068 ***
##  6:      0.34375           0.013 78     0.42 :(
##  7:      0.40625          -0.120 78     0.013 *
##  8:      0.46875          -0.110 78 0.00033 ***
##  9:      0.53125          -0.250 78 2.6e-06 ***
## 10:      0.59375          -0.240 78 1.3e-07 ***
## 11:      0.65625          -0.370 78 1.4e-11 ***
## 12:      0.71875          -0.400 78   8e-13 ***
## 13:      0.78125          -0.420 78 2.3e-13 ***
## 14:      0.84375          -0.490 78 4.2e-14 ***
## 15:      0.90625          -0.510 78 1.4e-14 ***
## 16:      0.96875          -0.610 78 1.1e-14 ***

## [1] "good"

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

##     timeNorm.bin delta.time.subj  n        pval
##  1:      0.03125           0.110 19     0.49 :(
##  2:      0.09375           0.160 19     0.018 *
##  3:      0.15625           0.220 19    0.004 **
##  4:      0.21875           0.170 19     0.034 *
##  5:      0.28125           0.180 19   0.0093 **
##  6:      0.34375           0.085 19     0.16 :(
##  7:      0.40625          -0.085 19     0.36 :(
##  8:      0.46875          -0.110 19     0.12 :(
##  9:      0.53125          -0.100 19     0.28 :(
## 10:      0.59375          -0.170 19      0.02 *
## 11:      0.65625          -0.330 19   0.0011 **
## 12:      0.71875          -0.330 19   0.0012 **
## 13:      0.78125          -0.390 19   0.0014 **
## 14:      0.84375          -0.490 19 0.00036 ***
## 15:      0.90625          -0.550 19 0.00014 ***
## 16:      0.96875          -0.710 19 0.00012 ***

## [1] "medium"

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

##     timeNorm.bin delta.time.subj  n        pval
##  1:      0.03125           0.250 49   0.0016 **
##  2:      0.09375           0.230 49 4.7e-05 ***
##  3:      0.15625           0.170 49 0.00031 ***
##  4:      0.21875           0.100 49      0.08 .
##  5:      0.28125           0.076 49     0.045 *
##  6:      0.34375          -0.022 49     0.84 :(
##  7:      0.40625          -0.120 49     0.018 *
##  8:      0.46875          -0.110 49   0.0036 **
##  9:      0.53125          -0.250 49 6.6e-05 ***
## 10:      0.59375          -0.270 49 8.7e-06 ***
## 11:      0.65625          -0.370 49   1e-07 ***
## 12:      0.71875          -0.400 49 1.4e-08 ***
## 13:      0.78125          -0.460 49 2.2e-09 ***
## 14:      0.84375          -0.490 49 1.4e-09 ***
## 15:      0.90625          -0.510 49   1e-09 ***
## 16:      0.96875          -0.610 49 8.7e-10 ***

## [1] "bad"

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

##     timeNorm.bin delta.time.subj  n      pval
##  1:      0.03125           0.250 10   0.53 :(
##  2:      0.09375           0.260 10   0.22 :(
##  3:      0.15625           0.270 10   0.032 *
##  4:      0.21875           0.140 10   0.36 :(
##  5:      0.28125           0.150 10   0.21 :(
##  6:      0.34375           0.085 10   0.21 :(
##  7:      0.40625          -0.160 10   0.84 :(
##  8:      0.46875          -0.110 10   0.18 :(
##  9:      0.53125          -0.320 10   0.022 *
## 10:      0.59375          -0.170 10    0.1 :(
## 11:      0.65625          -0.300 10   0.011 *
## 12:      0.71875          -0.430 10 0.0055 **
## 13:      0.78125          -0.390 10 0.0077 **
## 14:      0.84375          -0.420 10 0.0077 **
## 15:      0.90625          -0.580 10 0.0056 **
## 16:      0.96875          -0.650 10 0.0056 **

Sensory task

## [1] "all"

##     timeNorm.bin delta.time.subj  n        pval
##  1:      0.03125          -0.031 71 0.00013 ***
##  2:      0.09375           0.049 71     0.055 .
##  3:      0.15625           0.170 71 9.3e-06 ***
##  4:      0.21875           0.067 71     0.17 :(
##  5:      0.28125           0.040 71     0.063 .
##  6:      0.34375           0.013 71     0.62 :(
##  7:      0.40625          -0.013 71     0.78 :(
##  8:      0.46875          -0.076 71   0.0016 **
##  9:      0.53125          -0.100 71   0.0015 **
## 10:      0.59375          -0.170 71 2.5e-05 ***
## 11:      0.65625          -0.230 71 1.1e-08 ***
## 12:      0.71875          -0.290 71   4e-11 ***
## 13:      0.78125          -0.350 71 7.6e-12 ***
## 14:      0.84375          -0.380 71 1.5e-11 ***
## 15:      0.90625          -0.580 71 1.8e-13 ***
## 16:      0.96875          -0.610 71 1.9e-13 ***

## [1] "good"

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

##     timeNorm.bin delta.time.subj n      pval
##  1:      0.03125              NA 9        NA
##  2:      0.09375         -0.0220 9   0.62 :(
##  3:      0.15625         -0.0850 9   0.54 :(
##  4:      0.21875          0.1000 9   0.47 :(
##  5:      0.28125          0.0045 9   0.63 :(
##  6:      0.34375          0.0850 9   0.19 :(
##  7:      0.40625          0.1300 9   0.056 .
##  8:      0.46875          0.1700 9   0.23 :(
##  9:      0.53125         -0.1000 9   0.34 :(
## 10:      0.59375         -0.0940 9   0.55 :(
## 11:      0.65625         -0.2300 9   0.12 :(
## 12:      0.71875         -0.4000 9 0.0079 **
## 13:      0.78125         -0.3500 9   0.024 *
## 14:      0.84375         -0.4200 9   0.011 *
## 15:      0.90625         -0.5500 9 0.0088 **
## 16:      0.96875         -0.6100 9  0.009 **

## Warning: Removed 1 rows containing missing values (geom_point).

## Warning: Removed 1 rows containing missing values (geom_errorbar).

## [1] "medium"

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

##     timeNorm.bin delta.time.subj  n        pval
##  1:      0.03125         -0.0310 38 3.1e-05 ***
##  2:      0.09375          0.0130 38     0.65 :(
##  3:      0.15625          0.1300 38   0.0016 **
##  4:      0.21875          0.0670 38     0.12 :(
##  5:      0.28125          0.0045 38     0.45 :(
##  6:      0.34375          0.0130 38     0.76 :(
##  7:      0.40625         -0.0850 38     0.21 :(
##  8:      0.46875         -0.1500 38   0.0022 **
##  9:      0.53125         -0.1700 38     0.016 *
## 10:      0.59375         -0.2000 38 0.00052 ***
## 11:      0.65625         -0.2300 38   3e-04 ***
## 12:      0.71875         -0.2900 38 2.8e-06 ***
## 13:      0.78125         -0.3900 38 3.9e-07 ***
## 14:      0.84375         -0.3800 38 2.3e-06 ***
## 15:      0.90625         -0.5500 38   7e-08 ***
## 16:      0.96875         -0.6500 38   7e-08 ***

## [1] "bad"

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

##     timeNorm.bin delta.time.subj  n        pval
##  1:      0.03125          -0.031 24     0.94 :(
##  2:      0.09375           0.160 24      0.01 *
##  3:      0.15625           0.270 24 0.00037 ***
##  4:      0.21875           0.031 24     0.97 :(
##  5:      0.28125           0.150 24     0.053 .
##  6:      0.34375          -0.058 24     0.66 :(
##  7:      0.40625           0.022 24     0.81 :(
##  8:      0.46875          -0.150 24     0.015 *
##  9:      0.53125          -0.100 24     0.072 .
## 10:      0.59375          -0.170 24      0.02 *
## 11:      0.65625          -0.300 24 5.9e-05 ***
## 12:      0.71875          -0.290 24 0.00025 ***
## 13:      0.78125          -0.350 24   1e-04 ***
## 14:      0.84375          -0.420 24 6.1e-05 ***
## 15:      0.90625          -0.580 24 1.7e-05 ***
## 16:      0.96875          -0.610 24 1.8e-05 ***

Logical task

## [1] "all"

##     timeNorm.bin delta.time.subj  n        pval
##  1:      0.03125           0.110 74     0.37 :(
##  2:      0.09375           0.120 74 0.00053 ***
##  3:      0.15625           0.200 74 2.5e-06 ***
##  4:      0.21875           0.170 74 0.00022 ***
##  5:      0.28125           0.076 74   0.0071 **
##  6:      0.34375           0.049 74     0.28 :(
##  7:      0.40625           0.022 74     0.36 :(
##  8:      0.46875          -0.076 74     0.011 *
##  9:      0.53125          -0.100 74   0.0094 **
## 10:      0.59375          -0.170 74 5.7e-05 ***
## 11:      0.65625          -0.260 74 1.1e-08 ***
## 12:      0.71875          -0.330 74 1.9e-11 ***
## 13:      0.78125          -0.350 74 6.4e-12 ***
## 14:      0.84375          -0.420 74 4.3e-13 ***
## 15:      0.90625          -0.480 74 6.5e-14 ***
## 16:      0.96875          -0.540 74 6.7e-14 ***

## [1] "good"

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

##     timeNorm.bin delta.time.subj  n        pval
##  1:      0.03125         -0.0310 25 0.00077 ***
##  2:      0.09375          0.0130 25        1 :(
##  3:      0.15625          0.0580 25     0.23 :(
##  4:      0.21875          0.0670 25     0.39 :(
##  5:      0.28125          0.0045 25     0.67 :(
##  6:      0.34375         -0.0220 25     0.77 :(
##  7:      0.40625         -0.0130 25     0.63 :(
##  8:      0.46875         -0.1100 25     0.015 *
##  9:      0.53125         -0.1000 25     0.27 :(
## 10:      0.59375         -0.2700 25 7.4e-05 ***
## 11:      0.65625         -0.2600 25 0.00013 ***
## 12:      0.71875         -0.3600 25 6.4e-05 ***
## 13:      0.78125         -0.4200 25   2e-05 ***
## 14:      0.84375         -0.4500 25 2.6e-05 ***
## 15:      0.90625         -0.4800 25 1.3e-05 ***
## 16:      0.96875         -0.5400 25 1.2e-05 ***

## [1] "medium"

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

##     timeNorm.bin delta.time.subj  n        pval
##  1:      0.03125          0.1100 24     0.69 :(
##  2:      0.09375          0.1200 24      0.08 .
##  3:      0.15625          0.2700 24 0.00019 ***
##  4:      0.21875          0.1700 24     0.053 .
##  5:      0.28125          0.1500 24     0.035 *
##  6:      0.34375          0.1200 24     0.073 .
##  7:      0.40625          0.1700 24     0.015 *
##  8:      0.46875         -0.0045 24     0.92 :(
##  9:      0.53125         -0.1000 24     0.066 .
## 10:      0.59375          0.0490 24     0.78 :(
## 11:      0.65625         -0.2300 24     0.052 .
## 12:      0.71875         -0.1800 24   0.0017 **
## 13:      0.78125         -0.2500 24    0.002 **
## 14:      0.84375         -0.3800 24 0.00011 ***
## 15:      0.90625         -0.4100 24 1.8e-05 ***
## 16:      0.96875         -0.4000 24 1.7e-05 ***

## [1] "bad"

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff, mu = timeNorm.bin.cur, conf.int =
## T): cannot compute exact confidence interval with ties

##     timeNorm.bin delta.time.subj  n        pval
##  1:      0.03125           0.330 25   0.0037 **
##  2:      0.09375           0.190 25 0.00056 ***
##  3:      0.15625           0.200 25   0.0075 **
##  4:      0.21875           0.250 25 0.00092 ***
##  5:      0.28125           0.110 25     0.049 *
##  6:      0.34375           0.013 25     0.91 :(
##  7:      0.40625          -0.013 25     0.79 :(
##  8:      0.46875          -0.110 25     0.052 .
##  9:      0.53125          -0.100 25     0.078 .
## 10:      0.59375          -0.240 25   0.0033 **
## 11:      0.65625          -0.330 25 0.00017 ***
## 12:      0.71875          -0.360 25 1.2e-05 ***
## 13:      0.78125          -0.500 25 2.6e-05 ***
## 14:      0.84375          -0.520 25 1.4e-05 ***
## 15:      0.90625          -0.510 25 1.2e-05 ***
## 16:      0.96875          -0.650 25 1.2e-05 ***

Influence of Playtime on Subjective Difficulty Error

For all groups, motor, sensitive and logical

## 
## Call:
## glm(formula = error.subj.diff.mise ~ timeNorm + obj.diff, data = DTM)
## 
## Deviance Residuals: 
##      Min        1Q    Median        3Q       Max  
## -0.38242  -0.15779   0.01407   0.14067   0.48792  
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  0.15439    0.01475  10.466   <2e-16 ***
## timeNorm     0.03180    0.01301   2.444   0.0146 *  
## obj.diff     0.28901    0.02878  10.041   <2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 0.03263711)
## 
##     Null deviance: 79.956  on 2339  degrees of freedom
## Residual deviance: 76.273  on 2337  degrees of freedom
## AIC: -1362.6
## 
## Number of Fisher Scoring iterations: 2

## 
## Call:
## glm(formula = error.subj.diff.mise ~ timeNorm + obj.diff, data = DTS)
## 
## Deviance Residuals: 
##      Min        1Q    Median        3Q       Max  
## -0.34595  -0.14487  -0.02649   0.11935   0.62533  
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  0.21143    0.01087  19.451  < 2e-16 ***
## timeNorm     0.04976    0.01468   3.389 0.000714 ***
## obj.diff     0.10321    0.01870   5.519 3.82e-08 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 0.036228)
## 
##     Null deviance: 78.986  on 2129  degrees of freedom
## Residual deviance: 77.057  on 2127  degrees of freedom
## AIC: -1017.5
## 
## Number of Fisher Scoring iterations: 2

## 
## Call:
## glm(formula = error.subj.diff.mise ~ timeNorm + obj.diff, data = DTL)
## 
## Deviance Residuals: 
##      Min        1Q    Median        3Q       Max  
## -0.33243  -0.15166  -0.01806   0.13116   0.54226  
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  0.24394    0.01089  22.398  < 2e-16 ***
## timeNorm     0.02700    0.01437   1.880   0.0603 .  
## obj.diff     0.09124    0.02328   3.919 9.15e-05 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 0.03408162)
## 
##     Null deviance: 76.463  on 2219  degrees of freedom
## Residual deviance: 75.559  on 2217  degrees of freedom
## AIC: -1196.3
## 
## Number of Fisher Scoring iterations: 2

Per group, motor task

## 
## Call:
## glm(formula = error.subj.diff.mise ~ timeNorm + obj.diff, data = DTM[niveau.group == 
##     "bad"])
## 
## Deviance Residuals: 
##      Min        1Q    Median        3Q       Max  
## -0.42963  -0.21040   0.08145   0.20984   0.35512  
## 
## Coefficients:
##              Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  0.120986   0.082869   1.460 0.145355    
## timeNorm    -0.006825   0.048394  -0.141 0.887948    
## obj.diff     0.431434   0.123392   3.496 0.000543 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 0.04814502)
## 
##     Null deviance: 15.039  on 299  degrees of freedom
## Residual deviance: 14.299  on 297  degrees of freedom
## AIC: -53.713
## 
## Number of Fisher Scoring iterations: 2

## 
## Call:
## glm(formula = error.subj.diff.mise ~ timeNorm + obj.diff, data = DTM[niveau.group == 
##     "medium"])
## 
## Deviance Residuals: 
##      Min        1Q    Median        3Q       Max  
## -0.37154  -0.15346   0.02081   0.13740   0.38604  
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  0.18390    0.02056   8.943  < 2e-16 ***
## timeNorm     0.04338    0.01582   2.741  0.00619 ** 
## obj.diff     0.22107    0.03910   5.653 1.89e-08 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 0.03059322)
## 
##     Null deviance: 46.053  on 1469  degrees of freedom
## Residual deviance: 44.880  on 1467  degrees of freedom
## AIC: -949.18
## 
## Number of Fisher Scoring iterations: 2

## 
## Call:
## glm(formula = error.subj.diff.mise ~ timeNorm + obj.diff, data = DTM[niveau.group == 
##     "good"])
## 
## Deviance Residuals: 
##     Min       1Q   Median       3Q      Max  
## -0.3056  -0.1381  -0.0089   0.1187   0.5011  
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  0.15125    0.02132   7.094  3.9e-12 ***
## timeNorm     0.05783    0.03114   1.857 0.063759 .  
## obj.diff     0.20606    0.06125   3.364 0.000819 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 0.02859891)
## 
##     Null deviance: 17.248  on 569  degrees of freedom
## Residual deviance: 16.216  on 567  degrees of freedom
## AIC: -403.42
## 
## Number of Fisher Scoring iterations: 2

Per group, sensory task

## 
## Call:
## glm(formula = error.subj.diff.mise ~ timeNorm + obj.diff, data = DTS[niveau.group == 
##     "bad"])
## 
## Deviance Residuals: 
##      Min        1Q    Median        3Q       Max  
## -0.35303  -0.13935  -0.01427   0.11983   0.59557  
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  0.24707    0.02010  12.294   <2e-16 ***
## timeNorm     0.03355    0.02480   1.353   0.1766    
## obj.diff     0.08874    0.03468   2.559   0.0107 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 0.03632271)
## 
##     Null deviance: 26.383  on 719  degrees of freedom
## Residual deviance: 26.043  on 717  degrees of freedom
## AIC: -338.76
## 
## Number of Fisher Scoring iterations: 2

## 
## Call:
## glm(formula = error.subj.diff.mise ~ timeNorm + obj.diff, data = DTS[niveau.group == 
##     "medium"])
## 
## Deviance Residuals: 
##      Min        1Q    Median        3Q       Max  
## -0.33547  -0.14057  -0.02909   0.12488   0.62022  
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  0.19788    0.01466  13.494  < 2e-16 ***
## timeNorm     0.04519    0.02007   2.251   0.0246 *  
## obj.diff     0.12406    0.02538   4.887 1.17e-06 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 0.03581654)
## 
##     Null deviance: 42.042  on 1139  degrees of freedom
## Residual deviance: 40.723  on 1137  degrees of freedom
## AIC: -555.28
## 
## Number of Fisher Scoring iterations: 2

## 
## Call:
## glm(formula = error.subj.diff.mise ~ timeNorm + obj.diff, data = DTS[niveau.group == 
##     "good"])
## 
## Deviance Residuals: 
##      Min        1Q    Median        3Q       Max  
## -0.30620  -0.13941  -0.03942   0.10583   0.56087  
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  0.16842    0.02753   6.119 3.35e-09 ***
## timeNorm     0.11066    0.04308   2.569   0.0107 *  
## obj.diff     0.06664    0.04683   1.423   0.1559    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 0.03588513)
## 
##     Null deviance: 10.0549  on 269  degrees of freedom
## Residual deviance:  9.5813  on 267  degrees of freedom
## AIC: -127.2
## 
## Number of Fisher Scoring iterations: 2

Per group, logical task

## 
## Call:
## glm(formula = error.subj.diff.mise ~ timeNorm + obj.diff, data = DTL[niveau.group == 
##     "bad"])
## 
## Deviance Residuals: 
##      Min        1Q    Median        3Q       Max  
## -0.30370  -0.15335   0.00724   0.12575   0.46122  
## 
## Coefficients:
##              Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  0.247080   0.028175   8.770   <2e-16 ***
## timeNorm    -0.006021   0.022411  -0.269   0.7883    
## obj.diff     0.102417   0.049568   2.066   0.0392 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 0.0305448)
## 
##     Null deviance: 22.959  on 749  degrees of freedom
## Residual deviance: 22.817  on 747  degrees of freedom
## AIC: -483.02
## 
## Number of Fisher Scoring iterations: 2

## 
## Call:
## glm(formula = error.subj.diff.mise ~ timeNorm + obj.diff, data = DTL[niveau.group == 
##     "medium"])
## 
## Deviance Residuals: 
##      Min        1Q    Median        3Q       Max  
## -0.32710  -0.14949  -0.02475   0.13708   0.57392  
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  0.33444    0.01843  18.146   <2e-16 ***
## timeNorm     0.01045    0.02551   0.410    0.682    
## obj.diff    -0.03510    0.04018  -0.874    0.383    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 0.03414532)
## 
##     Null deviance: 24.509  on 719  degrees of freedom
## Residual deviance: 24.482  on 717  degrees of freedom
## AIC: -383.27
## 
## Number of Fisher Scoring iterations: 2

## 
## Call:
## glm(formula = error.subj.diff.mise ~ timeNorm + obj.diff, data = DTL[niveau.group == 
##     "good"])
## 
## Deviance Residuals: 
##     Min       1Q   Median       3Q      Max  
## -0.3463  -0.1398  -0.0418   0.1253   0.5766  
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  0.17783    0.01552   11.46  < 2e-16 ***
## timeNorm     0.08493    0.03111    2.73  0.00649 ** 
## obj.diff     0.13298    0.04433    3.00  0.00279 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 0.035224)
## 
##     Null deviance: 27.946  on 749  degrees of freedom
## Residual deviance: 26.312  on 747  degrees of freedom
## AIC: -376.12
## 
## Number of Fisher Scoring iterations: 2

Link between d(t-1) and error

## 
## Call:
## glm(formula = error.subj.diff.mise ~ est.confidence.norm, data = DTM)
## 
## Deviance Residuals: 
##      Min        1Q    Median        3Q       Max  
## -0.31655  -0.15628  -0.00425   0.13261   0.53061  
## 
## Coefficients:
##                     Estimate Std. Error t value Pr(>|t|)    
## (Intercept)         0.288680   0.007929  36.407   <2e-16 ***
## est.confidence.norm 0.034021   0.015271   2.228    0.026 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 0.03412587)
## 
##     Null deviance: 79.956  on 2339  degrees of freedom
## Residual deviance: 79.786  on 2338  degrees of freedom
## AIC: -1259.2
## 
## Number of Fisher Scoring iterations: 2

## 
## Call:
## glm(formula = error.subj.diff.mise ~ est.confidence.norm, data = DTS)
## 
## Deviance Residuals: 
##      Min        1Q    Median        3Q       Max  
## -0.28867  -0.15166  -0.03228   0.11927   0.66469  
## 
## Coefficients:
##                     Estimate Std. Error t value Pr(>|t|)    
## (Intercept)         0.277540   0.008317  33.369   <2e-16 ***
## est.confidence.norm 0.015336   0.016172   0.948    0.343    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 0.03710189)
## 
##     Null deviance: 78.986  on 2129  degrees of freedom
## Residual deviance: 78.953  on 2128  degrees of freedom
## AIC: -967.73
## 
## Number of Fisher Scoring iterations: 2

## 
## Call:
## glm(formula = error.subj.diff.mise ~ est.confidence.norm, data = DTL)
## 
## Deviance Residuals: 
##      Min        1Q    Median        3Q       Max  
## -0.29706  -0.15403  -0.01841   0.13391   0.58808  
## 
## Coefficients:
##                     Estimate Std. Error t value Pr(>|t|)    
## (Intercept)         0.294447   0.008066  36.504   <2e-16 ***
## est.confidence.norm 0.003839   0.015627   0.246    0.806    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 0.03447271)
## 
##     Null deviance: 76.463  on 2219  degrees of freedom
## Residual deviance: 76.460  on 2218  degrees of freedom
## AIC: -1172
## 
## Number of Fisher Scoring iterations: 2

## Linear mixed model fit by REML t-tests use Satterthwaite approximations
##   to degrees of freedom [lmerMod]
## Formula: error.subj.diff.mise ~ est.confidence.norm + (1 | IDjoueur)
##    Data: DTAll
## 
## REML criterion at convergence: -4014
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.4898 -0.7744 -0.0965  0.6772  3.6173 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  IDjoueur (Intercept) 0.004336 0.06585 
##  Residual             0.031117 0.17640 
## Number of obs: 6690, groups:  IDjoueur, 80
## 
## Fixed effects:
##                      Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)         2.855e-01  8.633e-03 1.230e+02  33.074  < 2e-16 ***
## est.confidence.norm 2.331e-02  8.709e-03 6.652e+03   2.677  0.00745 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr)
## est.cnfdnc. -0.454

## Linear mixed model fit by REML t-tests use Satterthwaite approximations
##   to degrees of freedom [lmerMod]
## Formula: error.subj.diff.mise ~ est.confidence.norm + (1 | IDjoueur)
##    Data: DTM
## 
## REML criterion at convergence: -2054
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.6182 -0.7207 -0.0669  0.6535  3.7301 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  IDjoueur (Intercept) 0.01227  0.1108  
##  Residual             0.02200  0.1483  
## Number of obs: 2340, groups:  IDjoueur, 78
## 
## Fixed effects:
##                      Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)         2.877e-01  1.419e-02 1.120e+02  20.268   <2e-16 ***
## est.confidence.norm 3.617e-02  1.296e-02 2.290e+03   2.791   0.0053 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr)
## est.cnfdnc. -0.415

## Linear mixed model fit by REML t-tests use Satterthwaite approximations
##   to degrees of freedom [lmerMod]
## Formula: error.subj.diff.mise ~ est.confidence.norm + (1 | IDjoueur)
##    Data: DTS
## 
## REML criterion at convergence: -1029.9
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.1639 -0.7584 -0.1475  0.6006  3.3144 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  IDjoueur (Intercept) 0.002649 0.05147 
##  Residual             0.034492 0.18572 
## Number of obs: 2130, groups:  IDjoueur, 71
## 
## Fixed effects:
##                      Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)         2.749e-01  1.043e-02 2.472e+02  26.361   <2e-16 ***
## est.confidence.norm 2.117e-02  1.671e-02 2.063e+03   1.267    0.205    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr)
## est.cnfdnc. -0.713

## Linear mixed model fit by REML t-tests use Satterthwaite approximations
##   to degrees of freedom [lmerMod]
## Formula: error.subj.diff.mise ~ est.confidence.norm + (1 | IDjoueur)
##    Data: DTL
## 
## REML criterion at convergence: -1376
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.4108 -0.7583 -0.1044  0.6683  3.3078 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  IDjoueur (Intercept) 0.005045 0.07103 
##  Residual             0.029493 0.17174 
## Number of obs: 2220, groups:  IDjoueur, 74
## 
## Fixed effects:
##                      Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)         2.939e-01  1.146e-02 1.798e+02  25.653   <2e-16 ***
## est.confidence.norm 5.033e-03  1.567e-02 2.218e+03   0.321    0.748    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr)
## est.cnfdnc. -0.616